Keerthana Madhavan
AI/ML Security Engineer, Ascendion, Graduate Student, University of Guelph
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"I am a cybersecurity researcher focused on AI Security and safety, and risk assessment. With a background in both security engineering and data science, my work aims to bridge the gap between theoretical risk frameworks and practical security implementations.
My Vision: To create actionable intelligence from AI risk data that enables organizations to build more secure and trustworthy AI systems. By understanding the causal factors behind AI security risks, we can develop more effective defensive strategies and contribute to the field of AI Security and safety."
When Compliance ≠ Security: Quantifying AI Governance Gaps
"AI governance is at a turning point. As more organizations rely on compliance frameworks like NIST AI RMF, the UK AI Risk Toolkit, and the EU’s ALTAI to guide “responsible AI,” a critical question remains: Do these standards actually protect us?
In this talk, I’ll present the first security-focused, quantitative audit of these three influential AI governance standards. Using a transparent, reproducible methodology and four custom-built risk metrics, we uncovered 136 security vulnerabilities—many of them high-risk, and most of them unresolved by the frameworks themselves.
Key takeaways:
• Why data governance must go beyond principles and checkboxes to address adversarial threats, model misuse, and third-party vulnerabilities
• How metrics like the Compliance-Security Gap Percentage (CSGP) and Root Cause Vulnerability Score (RCVS) can help practitioners and policymakers evaluate frameworks objectively
• What it means when up to 80% of high-risk issues in a framework remain unmitigated, even when “compliant”
• Recommendations to make AI governance more enforceable, secure, and aligned with real-world risk
If you’re working at the intersection of policy, engineering, ethics, or infrastructure, and want data-backed insight into how to strengthen governance, this talk is designed for you. Open code, full findings, and space for community contribution included."
Keerthana Madhavan
AI/ML Security Engineer, Ascendion, Graduate Student, University of Guelph
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